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All digests tagged Code Quality
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AI agents are solving the coding problem, but verification is the new bottleneck. Learn how Anthropic scaled to 30,000 merged changes daily and why multi-layered, zero-trust verification is mandatory for modern software factories.
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Functional programming offers a powerful, declarative alternative to imperative coding. Learn how FP leverages functional composition, and critically, how to use AI to accelerate development without sacrificing code quality or fundamental knowledge.
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Stop re-prompting your coding agent. Instead, codify the rules you keep repeating into deterministic checks using linting. Learn how to keep APIs synced with the OpenAPI schema and manage qualitative code policies.
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Tessl Verifiers allow you to write rules for your repository in plain language and automatically check them on every code change. They enforce standards that traditional linters and tests cannot reliably cover.
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A quarter of PRs reviewed by Greptile are now AI-generated. The talk compares agent code (Codex, Claude, Devin) to human code on bug rates and review cycles, finding unique failure modes for each agent.
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Tessl Code Review is an AI-native solution for code quality, integrating into GitHub to catch defects in agent-generated PRs. It uses customizable 'lenses' and self-improvement loops to ensure code reliability.
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Harness engineering is not enough: The failure of software factories stems from model training flaws. Current models lack a reward signal for poor maintainability, necessitating rigorous upfront planning (Product Review, System Architecture, Program Design).
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Responsible project development requires automating all quality gates—from static analysis (Clang-Tidy) to advanced testing like fuzzing and mutation testing. Aim for 'completed,' not 'abandoned.'
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